数据挖掘

Programming, Discrete Mathematics, Data Structures and Algorithms, Introduction to the Design and Analysis of Algorithms, Operating Systems, Compiler Principles and Practice, Computer Networks, Computer System Architecture, Embedded Systems and Applications, Database Systems and Applications, Formal Language and Automata, Software Engineering, Artificial Intelligence, Introduction to Computer Graphics, Software System Design, Software Project Management, etc.

主干课程：算法分析与设计、面向对象技术与应用、软件项目管理、软件体系结构、软件过程改进、计算机网络技术、网络与信息安全技术、软件测试技术、信息系统分析与设计、软件度量技术、数据库管理技术、软件平台与中间件技术、数据仓库与数据挖掘、软件需求工程、计算机图形学等。研究方向：软件工程与管理、软件理论与系统、信息系统与工程、计算机图形学与辅助设计。

Data mining can distil available information from mass data, the information is very valuable, but difficult to rely on experience or common sense to infer.

数据挖掘能够从海量的数据集中提取人们所不知道的隐藏知识信息，这些信息尽管可能很有用，可是很难靠经验或常识来推断。

Data mining technology is a procedure of distilling available information and knowledge from mass , incompleted and random data .

数据挖掘是从大量的、不完全的、有噪声的、模糊的、随机的数据中，提取隐含在其中的、人们事先不知道的、但又潜在有用的信息和知识的过程。

Stimulated by the economic factors, more and more decision-making needs to rely on the distilling data in a scientific and systematic way of data mining.

在经济因素的刺激下，越来越多的决策需要仰仗对现有数据进行科学、系统的分析与数据挖掘。

Mining concept drifts from data streams is one of the most important fields in data mining.

摘要数据流中概念漂移的检测是当前数据挖掘领域的重要研究分支，近年来得到了广泛的关注。

Cluster analysis is one of important techniques in data mining and exploratory data analysis.

聚类分析是数据挖掘和探索性数据分析中一个极为重要的技术。

Some methods and tools used for expressional microarray data mining based on previous work were summarized.

如何从海量数据中获取有生物学意义的结果成为摆在生物学工作者面前的难题。对表达谱芯片数据挖掘方法进行了综述。

Wavelet has been developing in signal processing,image processing,model recognizing,computer vision, multisensor data fusion and so on.

引言数据挖掘是指从大量的、不完全的、有噪声的、非稳定的、模糊的和随机的数据中，提取人们事先不知道的但又是潜在有用的信息和知识。

Data mining technology can find potential useful knowledge in large amounts of data.

中文摘要：数据挖掘技术可以在大量的数据中发现潜在的有用的知识。

Reduction of knowledge is one of the core contents in rough set theory.

粗糙集是一种处理模糊和不确定性数据的工具，因而成为数据挖掘中的重要框架。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。